Name
Title | ||
|---|---|---|
Optimization of the calibration for an internal combustion engine management system using multi-objective genetic algorithms |
Abstract | ||
|---|---|---|
This paper proposes a multi-objective structure for the optimization of an engine control unit mapping. In this way, first an integrated engine- vehicle model is developed. The objective functions for the optimization problem can be defined from this model. After describing the structure of the optimization problem, two different multi-objective genetic algorithms, namely Distance-based Pareto Genetic Algorithm and Non-Dominated Sorting Genetic Algorithm (together with Entropy-based Multi-Objective Genetic Algorithm), are proposed and implemented. The results demonstrate the superiority of this computerized structure to the manual mapping methods and also more generality of the multi- objective methods compared to single-objective ones. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CEC.2005.1554834 | Evolutionary Computation, 2005. The 2005 IEEE Congress |
Keywords | Field | DocType |
Pareto optimisation,calibration,control system analysis,entropy,genetic algorithms,internal combustion engines,sorting,distance-based Pareto genetic algorithm,engine control unit mapping,entropy-based multiobjective genetic algorithm,integrated engine-vehicle model,internal combustion engine management system calibration,nondominated sorting genetic algorithm,objective function,optimization | Mathematical optimization,Derivative-free optimization,Computer science,Meta-optimization,Test functions for optimization,Genetic representation,Quality control and genetic algorithms,Population-based incremental learning,Optimization problem,Genetic algorithm | Conference |
Volume | ISBN | Citations |
2 | 0-7803-9363-5 | 4 |
PageRank | References | Authors |
0.68 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gholamreza Vossoughi | 1 | 7 | 1.67 |
| Siavash Rezazadeh | 2 | 4 | 0.68 |